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This model is useful if one is primarily interested in making predictions of exposure on the spatial surface.
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Different population groups may be of particular concern for air toxics exposures, depending on the spatial and temporal distribution of exposures.
First, we created buffers of 50 m and 100 m from major roadways to proxy for traffic pollution exposure based on the DMTI spatial data coverage (DMTI Spatial, Markham, ON).
The model assumes that hurricane movement over land decreases sustained wind speeds and increases inflow angles, and then calculates spatial variation in exposure at the spatial resolution of the DEM.
Pollution levels vary relatively on the local scale; making precise estimates of exposure on opposite spatial scales is a primary consideration when evaluating the relationship between air pollution and health [ 31, 32].
Vulnerability in terms of heat waves depends on the spatial variation of exposure (a necessary condition) plus the spatially differentiated socio-economic characteristics of the population.
Seroprevalence studies of DENV exposure can provide valuable information on the spatial range and intensity of DENV transmission including, if repeated age-stratified sample sets are available, inferences on temporal changes in transmission intensity.
The traffic volumes on the classes of other major roadways used in this analysis are likely to be highly variable across California, so exposure to traffic-related pollutants on the spatial scale of interest may be less well classified by residential proximity to other major roadways than by proximity to freeways.
The degree to which the positional errors in geocoding affect the exposure assessment and the health risk assessment depends on the spatial resolution of the exposure model.
Long-term effects of chronic postnatal lead exposure on delayed spatial alternation in monkeys.
The extent of error depends on the spatial homogeneity of the exposure, as we compared exposures with temporality.
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